Triple
T29386360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Finland |
E745263
|
entity |
| Predicate | mayHaveOccupation |
P154940
|
FINISHED |
| Object | independent of presidential role |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: independent of presidential role | Statement: [First Lady of Finland, mayHaveOccupation, independent of presidential role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHaveOccupation Context triple: [First Lady of Finland, mayHaveOccupation, independent of presidential role]
-
A.
mayBeOccupationOf
chosen
Indicates that something is a possible or potential occupation held by a given entity.
-
B.
mayHaveRole
Indicates that an entity is permitted or eligible to hold or perform a specified role.
-
C.
hasTypicalOccupation
Indicates that an entity commonly or characteristically works in a particular job or profession.
-
D.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
E.
mayHavePriorRole
Indicates that an entity is allowed or expected to have held a specified role at some earlier time.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d1c0e481909cbbda806ac0ca28 |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:39 p.m.